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http://bura.brunel.ac.uk/handle/2438/22610Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chen, X | - |
| dc.contributor.author | Lai, CS | - |
| dc.contributor.author | Ng, WWY | - |
| dc.contributor.author | Pan, K | - |
| dc.contributor.author | Lai, LL | - |
| dc.contributor.author | Zhong, C | - |
| dc.date.accessioned | 2021-05-06T00:23:42Z | - |
| dc.date.available | 2021-05-06T00:23:42Z | - |
| dc.date.issued | 2021-05-04 | - |
| dc.identifier | ORCID iDs: Chun Sing Lai https://orcid.org/0000-0002-4169-4438; Wing W. Y. Ng https://orcid.org/0000-0003-0783-3585; Loi Lei Lai https://orcid.org/0000-0003-4786-7931; Cankun Zhon https://orcid.org/0000-0002-4271-6483. | - |
| dc.identifier.citation | Chen, X., Lai, C.S., Ng, W.W.Y. et al. A stochastic sensitivity-based multi-objective optimization method for short-term wind speed interval prediction. Int. J. Mach. Learn. & Cyber. (2021). | en_US |
| dc.identifier.issn | 1868-8071 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/22610 | - |
| dc.description.sponsorship | National Natural Science Foundation of China; Brunel University London BRIEF Funding; Education Department of Guangdong Province: New and Integrated Energy System Theory and Technology Research Group | en_US |
| dc.language | en | - |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Nature | en_US |
| dc.rights | Copyright © 2021 Springer Nature. This is a pre-copyedited, author-produced version of an article accepted for publication in International Journal of Machine Learning and Cybernetics, following peer review. The final authenticated version is available online at https://doi.org/10.1007/s13042-021-01340-6 (see: https://www.springernature.com/gp/open-research/policies/journal-policies). | - |
| dc.rights.uri | https://www.springernature.com/gp/open-research/policies/journal-policies | - |
| dc.subject | wind speed | en_US |
| dc.subject | prediction intervals | en_US |
| dc.subject | multi-objective optimization | en_US |
| dc.subject | stochastic sensitivity | en_US |
| dc.subject | neural network | en_US |
| dc.title | A stochastic sensitivity-based multi-objective optimization method for short-term wind speed interval prediction | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1007/s13042-021-01340-6 | - |
| dc.relation.isPartOf | International Journal of Machine Learning and Cybernetics | - |
| pubs.publication-status | Published | - |
| dc.identifier.eissn | 1868-808X | - |
| dc.rights.holder | Springer Nature | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2021 Springer Nature. This is a pre-copyedited, author-produced version of an article accepted for publication in International Journal of Machine Learning and Cybernetics, following peer review. The final authenticated version is available online at https://doi.org/10.1007/s13042-021-01340-6 (see: https://www.springernature.com/gp/open-research/policies/journal-policies). | 959.24 kB | Adobe PDF | View/Open |
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